code: def forward(self, net: Tensor) -> Tensor:
      inp = net
      net1 = self.lrelu(self.conv1(inp))
      net2 = self.lrelu(self.conv2(torch.cat((inp, net1), 1)))
      net3 = self.lrelu(self.conv3(torch.cat((inp, net1, net2), 1)))
      net4 = self.lrelu(
          self.conv4(torch.cat((inp, net1, net2, net3), 1))
      )
      net = self.conv5(torch.cat((inp, net1, net2, net3, net4), 1))
      return net * 0.2 + inp
  
file_path: carefree-learn/cflearn/models/cv/translator/rrdb.py
imports: import torch
  import torch.nn
  import torch.nn.functional
  from torch import Tensor
  from typing import Optional
  from ....schema import IDLModel
label_desc: Use image node_id 2 for calling the ResidualDenseBlock obj's underlying member method code with example usage: obj.forward(net) and returns: unknown